Lagrange multiplier adaptation at CTU-level for VVC low-delay hierarchical coding

Hongwei Guo, Ce Zhu, Yipeng Liu, Xu Yang, Lei Luo
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Abstract

Independent rate-distortion optimization (RDO) is tractable to implement in video coding, but it cannot achieve global optimal rate-distortion performance. In this paper, we convert the problem of dependent RDO into the form of independent RDO by adjusting the Lagrange multiplier of a coding unit, and present a Lagrange multiplier adaptation method for versatile video coding (VVC). Firstly, the current frame is preencoded by an integer-pixel inter-picture prediction with the size of 32×32 to obtain the coding distortion and motion compensation predicted (MCP) error. Secondly, a distortion effect factor is estimated with the coding distortion and MCP error according to the location of the current frame in group of picture (GOP). Finally, a Lagrangian factor is introduced based on the distortion effect factor to adjust the Lagrange multiplier at coding tree unit (CTU) level. Experimental results show that, on the platform of VVC test model (VTM17.0), the proposed algorithm obtains 3.03% and 2.34% coding gains in terms of Bjøntegaard delta bitrate (BDBR), respectively, under the configurations of low-delay B and P slices.
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VVC低延迟分层编码的ctu级拉格朗日乘法器自适应
独立码率失真优化(RDO)在视频编码中易于实现,但无法实现全局最优的码率失真性能。本文通过调整编码单元的拉格朗日乘子,将相关RDO问题转化为独立RDO问题,提出了一种通用视频编码(VVC)的拉格朗日乘子自适应方法。首先,对当前帧进行大小为32×32的整像素图像间预测预编码,得到编码失真和运动补偿预测误差;其次,根据当前帧在图像组(GOP)中的位置,利用编码失真和MCP误差估计失真效应因子;最后,在失真效应因子的基础上引入拉格朗日因子,在编码树单元(CTU)级别对拉格朗日乘子进行调整。实验结果表明,在VVC测试模型(VTM17.0)平台上,在低延迟B片和P片配置下,该算法以Bjøntegaard delta比特率(BDBR)计算的编码增益分别为3.03%和2.34%。
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